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# Data Architect

- **Company:** ABI USA SALES CORP.
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Salary:** $2,080.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Databases, Data Architecture, Data Dictionary, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Database Design, Interoperability, Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Cloud Services, Data Streaming, Cloud Platform System, Snowflake
- **Published:** August 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8bcaa01b76d17b21

## About the Role

Skill Required/Desired Amount of Experience experience in data architecture, database design, and data modeling Required 5.0 Years experience in SQL Server/Oracle or similar RDBMS Required 5.0 Years experience with Cloud Platforms(Azure, AWS) Required 5.0 Years experience with ETL tools, API//'s and integration framework Required 5.0 Years Expertise with modern cloud data warehouses such as Snowflake. Required 5.0 Years

## Description

Data Architecture Design
Develop and maintain enterprise data models, schemas, and standards. o Define data flows and integration patterns between systems, including cloud-native platforms such as Snowflake.
Database Management
Oversee logical and physical database design for performance and scalability. o Collaborate with DBAs on optimization, capacity planning, and Snowflake performance management.
Data Governance
Establish data quality, security, and compliance standards. o Implement metadata management and maintain a data dictionary.
Integration & ETL
Design and optimize ETL/ELT processes for data warehousing and analytics, with hands-on experience using Snowflake's ingestion and transformation capabilities. o Ensure interoperability between on-prem and cloud systems.
Collaboration
Work with business analysts, developers, and stakeholders to translate requirements into data solutions. o Provide guidance on data modeling best practices.
Performance & Security
Ensure data architecture meets performance SLAs and security requirements. o Implement encryption, access controls, and audit mechanisms across both traditional DBMS and Snowflake environments.
Innovation
Evaluate emerging technologies (cloud, big data, AI/ML) for adoption. o Recommend improvements to existing data architecture, including Snowflake optimization and new cloud capabilities.


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